BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

279 related articles for article (PubMed ID: 15691257)

  • 1. Colors in atypical nevi: a computer description reproducing clinical assessment.
    Seidenari S; Pellacani G; Grana C
    Skin Res Technol; 2005 Feb; 11(1):36-41. PubMed ID: 15691257
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Pigment distribution in melanocytic lesion images: a digital parameter to be employed for computer-aided diagnosis.
    Seidenari S; Pellacani G; Grana C
    Skin Res Technol; 2005 Nov; 11(4):236-41. PubMed ID: 16221139
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Extraction of skin lesion texture features based on independent component analysis.
    Tabatabaie K; Esteki A; Toossi P
    Skin Res Technol; 2009 Nov; 15(4):433-9. PubMed ID: 19832954
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Colour clusters for computer diagnosis of melanocytic lesions.
    Seidenari S; Grana C; Pellacani G
    Dermatology; 2007; 214(2):137-43. PubMed ID: 17341863
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sensitivity, specificity, and diagnostic accuracy of three dermoscopic algorithmic methods in the diagnosis of doubtful melanocytic lesions: the importance of light brown structureless areas in differentiating atypical melanocytic nevi from thin melanomas.
    Annessi G; Bono R; Sampogna F; Faraggiana T; Abeni D
    J Am Acad Dermatol; 2007 May; 56(5):759-67. PubMed ID: 17316894
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combination of features from skin pattern and ABCD analysis for lesion classification.
    She Z; Liu Y; Damatoa A
    Skin Res Technol; 2007 Feb; 13(1):25-33. PubMed ID: 17250529
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm.
    Iyatomi H; Oka H; Celebi ME; Hashimoto M; Hagiwara M; Tanaka M; Ogawa K
    Comput Med Imaging Graph; 2008 Oct; 32(7):566-79. PubMed ID: 18703311
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differentiation of melanoma from benign mimics using the relative-color method.
    LeAnder R; Chindam P; Das M; Umbaugh SE
    Skin Res Technol; 2010 Aug; 16(3):297-304. PubMed ID: 20636998
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Practical color calibration for dermoscopy, applied to a digital epiluminescence microscope.
    Grana C; Pellacani G; Seidenari S
    Skin Res Technol; 2005 Nov; 11(4):242-7. PubMed ID: 16221140
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diagnostic image analysis of malignant melanoma in in vivo confocal laser-scanning microscopy: a preliminary study.
    Gerger A; Wiltgen M; Langsenlehner U; Richtig E; Horn M; Weger W; Ahlgrimm-Siess V; Hofmann-Wellenhof R; Samonigg H; Smolle J
    Skin Res Technol; 2008 Aug; 14(3):359-63. PubMed ID: 19159384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enhancement of lesion classification using divergence, curl and curvature of skin pattern.
    She Z; Duller AW; Fish PJ
    Skin Res Technol; 2004 Nov; 10(4):222-30. PubMed ID: 15479445
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An integrated and interactive decision support system for automated melanoma recognition of dermoscopic images.
    Rahman MM; Bhattacharya P
    Comput Med Imaging Graph; 2010 Sep; 34(6):479-86. PubMed ID: 19942406
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differences between polarized light dermoscopy and immersion contact dermoscopy for the evaluation of skin lesions.
    Benvenuto-Andrade C; Dusza SW; Agero AL; Scope A; Rajadhyaksha M; Halpern AC; Marghoob AA
    Arch Dermatol; 2007 Mar; 143(3):329-38. PubMed ID: 17372097
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Asymmetry in dermoscopic melanocytic lesion images: a computer description based on colour distribution.
    Seidenari S; Pellacani G; Grana C
    Acta Derm Venereol; 2006; 86(2):123-8. PubMed ID: 16648914
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.
    Kaur R; Albano PP; Cole JG; Hagerty J; LeAnder RW; Moss RH; Stoecker WV
    Skin Res Technol; 2015 Nov; 21(4):466-73. PubMed ID: 25809473
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantitative color assessment of dermoscopy images using perceptible color regions.
    Lee G; Lee O; Park S; Moon J; Oh C
    Skin Res Technol; 2012 Nov; 18(4):462-70. PubMed ID: 22272727
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit: a preliminary report.
    Manousaki AG; Manios AG; Tsompanaki EI; Panayiotides JG; Tsiftsis DD; Kostaki AK; Tosca AD
    Int J Dermatol; 2006 Apr; 45(4):402-10. PubMed ID: 16650167
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images.
    Stanley RJ; Stoecker WV; Moss RH; Rabinovitz HS; Cognetta AB; Argenziano G; Soyer HP
    Skin Res Technol; 2008 Nov; 14(4):425-35. PubMed ID: 18937777
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Limitations of dermoscopy in the recognition of melanoma.
    Skvara H; Teban L; Fiebiger M; Binder M; Kittler H
    Arch Dermatol; 2005 Feb; 141(2):155-60. PubMed ID: 15724011
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fast density-based lesion detection in dermoscopy images.
    Mete M; Kockara S; Aydin K
    Comput Med Imaging Graph; 2011 Mar; 35(2):128-36. PubMed ID: 20800995
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.